{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T05:20:42Z","timestamp":1784092842649,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,19]]},"DOI":"10.1145\/3340531.3412700","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T05:31:04Z","timestamp":1603085464000},"page":"2477-2484","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":66,"title":["EdgeRec"],"prefix":"10.1145","author":[{"given":"Yu","family":"Gong","sequence":"first","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziwen","family":"Jiang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yufei","family":"Feng","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Binbin","family":"Hu","sequence":"additional","affiliation":[{"name":"Ant Financial Services Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaiqi","family":"Zhao","sequence":"additional","affiliation":[{"name":"University of Auckland, Auckland, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingwen","family":"Liu","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenwu","family":"Ou","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Qingyao Ai Keping Bi Jiafeng Guo and W Bruce Croft. 2018. Learning a deep listwise context model for ranking refinement. In SIGIR.  Qingyao Ai Keping Bi Jiafeng Guo and W Bruce Croft. 2018. Learning a deep listwise context model for ranking refinement. In SIGIR."},{"key":"e_1_3_2_2_2_1","volume-title":"Neural machine translation by jointly learning to align and translate. arXiv","author":"Bahdanau Dzmitry","year":"2014","unstructured":"Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2014. Neural machine translation by jointly learning to align and translate. arXiv ( 2014 ). Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv (2014)."},{"key":"e_1_3_2_2_3_1","volume-title":"Federated meta-learning for recommendation. arXiv","author":"Chen Fei","year":"2018","unstructured":"Fei Chen , Zhenhua Dong , Zhenguo Li , and Xiuqiang He. 2018. Federated meta-learning for recommendation. arXiv ( 2018 ). Fei Chen, Zhenhua Dong, Zhenguo Li, and Xiuqiang He. 2018. Federated meta-learning for recommendation. arXiv (2018)."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"crossref","unstructured":"Haokun Chen Xinyi Dai Han Cai Weinan Zhang Xuejian Wang Ruiming Tang Yuzhou Zhang and Yong Yu. 2019. Large-scale interactive recommendation with tree-structured policy gradient. In AAAI.  Haokun Chen Xinyi Dai Han Cai Weinan Zhang Xuejian Wang Ruiming Tang Yuzhou Zhang and Yong Yu. 2019. Large-scale interactive recommendation with tree-structured policy gradient. In AAAI.","DOI":"10.1609\/aaai.v33i01.33013312"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"e_1_3_2_2_6_1","volume-title":"Dzmitry Bahdanau, and Yoshua Bengio.","author":"Cho Kyunghyun","year":"2014","unstructured":"Kyunghyun Cho , Bart Van Merri\u00ebnboer , Dzmitry Bahdanau, and Yoshua Bengio. 2014 . On the properties of neural machine translation: Encoder-decoder approaches. arXiv (2014). Kyunghyun Cho, Bart Van Merri\u00ebnboer, Dzmitry Bahdanau, and Yoshua Bengio. 2014. On the properties of neural machine translation: Encoder-decoder approaches. arXiv (2014)."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"crossref","unstructured":"Paul Covington Jay Adams and Emre Sargin. 2016. Deep neural networks for youtube recommendations. In RecSys.  Paul Covington Jay Adams and Emre Sargin. 2016. Deep neural networks for youtube recommendations. In RecSys.","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_2_8_1","volume-title":"An introduction to ROC analysis. Pattern recognition letters","author":"Fawcett Tom","year":"2006","unstructured":"Tom Fawcett . 2006. An introduction to ROC analysis. Pattern recognition letters , Vol. 27 , 8 ( 2006 ), 861--874. Tom Fawcett. 2006. An introduction to ROC analysis. Pattern recognition letters, Vol. 27, 8 (2006), 861--874."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","unstructured":"Yufei Feng Fuyu Lv Weichen Shen Menghan Wang Fei Sun Yu Zhu and Keping Yang. 2019. Deep Session Interest Network for Click-Through Rate Prediction. In IJCAI. 2301--2307.  Yufei Feng Fuyu Lv Weichen Shen Menghan Wang Fei Sun Yu Zhu and Keping Yang. 2019. Deep Session Interest Network for Click-Through Rate Prediction. In IJCAI. 2301--2307.","DOI":"10.24963\/ijcai.2019\/319"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"crossref","unstructured":"Mihajlo Grbovic and Haibin Cheng. 2018. Real-time personalization using embeddings for search ranking at airbnb. In SIGKDD.  Mihajlo Grbovic and Haibin Cheng. 2018. Real-time personalization using embeddings for search ranking at airbnb. In SIGKDD.","DOI":"10.1145\/3219819.3219885"},{"key":"e_1_3_2_2_11_1","volume-title":"Sean Augenstein, Hubert Eichner, Chlo\u00e9 Kiddon, and Daniel Ramage.","author":"Hard Andrew","year":"2018","unstructured":"Andrew Hard , Kanishka Rao , Rajiv Mathews , Swaroop Ramaswamy , Francc oise Beaufays , Sean Augenstein, Hubert Eichner, Chlo\u00e9 Kiddon, and Daniel Ramage. 2018 . Federated learning for mobile keyboard prediction. arXiv (2018). Andrew Hard, Kanishka Rao, Rajiv Mathews, Swaroop Ramaswamy, Francc oise Beaufays, Sean Augenstein, Hubert Eichner, Chlo\u00e9 Kiddon, and Daniel Ramage. 2018. Federated learning for mobile keyboard prediction. arXiv (2018)."},{"key":"e_1_3_2_2_12_1","volume-title":"Multi-Interest Network with Dynamic Routing for Recommendation at Tmall. arXiv","author":"Li Chao","year":"2019","unstructured":"Chao Li , Zhiyuan Liu , Mengmeng Wu , Yuchi Xu , Pipei Huang , Huan Zhao , Guoliang Kang , Qiwei Chen , Wei Li , and Dik Lun Lee . 2019. Multi-Interest Network with Dynamic Routing for Recommendation at Tmall. arXiv ( 2019 ). Chao Li, Zhiyuan Liu, Mengmeng Wu, Yuchi Xu, Pipei Huang, Huan Zhao, Guoliang Kang, Qiwei Chen, Wei Li, and Dik Lun Lee. 2019. Multi-Interest Network with Dynamic Routing for Recommendation at Tmall. arXiv (2019)."},{"key":"e_1_3_2_2_13_1","volume-title":"Jan vC ernock\u1ef3, and Sanjeev Khudanpur","author":"Mikolov Tom\u00e1vs","year":"2010","unstructured":"Tom\u00e1vs Mikolov , Martin Karafi\u00e1t , Luk\u00e1vs Burget , Jan vC ernock\u1ef3, and Sanjeev Khudanpur . 2010 . Recurrent neural network based language model. In ISCA. Tom\u00e1vs Mikolov, Martin Karafi\u00e1t, Luk\u00e1vs Burget, Jan vC ernock\u1ef3, and Sanjeev Khudanpur. 2010. Recurrent neural network based language model. In ISCA."},{"key":"e_1_3_2_2_14_1","unstructured":"Yabo Ni Dan Ou Shichen Liu Xiang Li Wenwu Ou Anxiang Zeng and Luo Si. 2018. Perceive your users in depth: Learning universal user representations from multiple e-commerce tasks. In SIGKDD.  Yabo Ni Dan Ou Shichen Liu Xiang Li Wenwu Ou Anxiang Zeng and Luo Si. 2018. Perceive your users in depth: Learning universal user representations from multiple e-commerce tasks. In SIGKDD."},{"key":"e_1_3_2_2_15_1","volume-title":"et almbox","author":"Pei Changhua","year":"2019","unstructured":"Changhua Pei , Yi Zhang , Yongfeng Zhang , Fei Sun , Xiao Lin , Hanxiao Sun , Jian Wu , Peng Jiang , Junfeng Ge , Wenwu Ou , et almbox . 2019 . Personalized re-ranking for recommendation. In RecSys . Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Junfeng Ge, Wenwu Ou, et almbox. 2019. Personalized re-ranking for recommendation. In RecSys."},{"key":"e_1_3_2_2_16_1","volume-title":"Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. arXiv","author":"Pi Qi","year":"2019","unstructured":"Qi Pi , Weijie Bian , Guorui Zhou , Xiaoqiang Zhu , and Kun Gai . 2019. Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. arXiv ( 2019 ). Qi Pi, Weijie Bian, Guorui Zhou, Xiaoqiang Zhu, and Kun Gai. 2019. Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. arXiv (2019)."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2579198"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2978896"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1600249CM"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCE.2016.2590100"},{"key":"e_1_3_2_2_21_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In NIPS.  Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In NIPS."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"crossref","unstructured":"Guorui Zhou Na Mou Ying Fan Qi Pi Weijie Bian Chang Zhou Xiaoqiang Zhu and Kun Gai. 2019. Deep interest evolution network for click-through rate prediction. In AAAI.  Guorui Zhou Na Mou Ying Fan Qi Pi Weijie Bian Chang Zhou Xiaoqiang Zhu and Kun Gai. 2019. Deep interest evolution network for click-through rate prediction. In AAAI.","DOI":"10.1609\/aaai.v33i01.33015941"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"crossref","unstructured":"Guorui Zhou Xiaoqiang Zhu Chenru Song Ying Fan Han Zhu Xiao Ma Yanghui Yan Junqi Jin Han Li and Kun Gai. 2018b. Deep interest network for click-through rate prediction. In SIGKDD.  Guorui Zhou Xiaoqiang Zhu Chenru Song Ying Fan Han Zhu Xiao Ma Yanghui Yan Junqi Jin Han Li and Kun Gai. 2018b. Deep interest network for click-through rate prediction. In SIGKDD.","DOI":"10.1145\/3219819.3219823"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"crossref","unstructured":"Meizi Zhou Zhuoye Ding Jiliang Tang and Dawei Yin. 2018a. Micro behaviors: A new perspective in e-commerce recommender systems. In WSDM.  Meizi Zhou Zhuoye Ding Jiliang Tang and Dawei Yin. 2018a. Micro behaviors: A new perspective in e-commerce recommender systems. In WSDM.","DOI":"10.1145\/3159652.3159671"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"crossref","unstructured":"Han Zhu Junqi Jin Chang Tan Fei Pan Yifan Zeng Han Li and Kun Gai. 2017. Optimized cost per click in taobao display advertising. In SIGKDD. 2191--2200.  Han Zhu Junqi Jin Chang Tan Fei Pan Yifan Zeng Han Li and Kun Gai. 2017. Optimized cost per click in taobao display advertising. In SIGKDD. 2191--2200.","DOI":"10.1145\/3097983.3098134"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"crossref","unstructured":"Tao Zhuang Wenwu Ou and Zhirong Wang. 2018. Globally optimized mutual influence aware ranking in e-commerce search. In AAAI.  Tao Zhuang Wenwu Ou and Zhirong Wang. 2018. Globally optimized mutual influence aware ranking in e-commerce search. In AAAI.","DOI":"10.24963\/ijcai.2018\/518"}],"event":{"name":"CIKM '20: The 29th ACM International Conference on Information and Knowledge Management","location":"Virtual Event Ireland","acronym":"CIKM '20","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 29th ACM International Conference on Information &amp; Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3412700","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3412700","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:55Z","timestamp":1750197775000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3412700"}},"subtitle":["Recommender System on Edge in Mobile Taobao"],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":26,"alternative-id":["10.1145\/3340531.3412700","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3412700","relation":{},"subject":[],"published":{"date-parts":[[2020,10,19]]},"assertion":[{"value":"2020-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}